Title :
Visual servoing of rigid robots with modified Cartesian-based encoding
Author :
Chang, Wen-Chung
Author_Institution :
Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien, Taiwan
Abstract :
Deals with issues concerning visual servoing of robotic manipulators in fixed-camera configurations employing modified Cartesian-based task encoding. It is shown that in the absence of measurement noise precise 6-DOF positioning sometimes can possibly be achieved despite camera model imprecision. Based on the modified Cartesian-based encoding approach, the encoded task can be implemented without knowing the precise camera model and which, if accomplished, implies that the original 6-DOF positioning task is accomplished with precision as well. A visual servo controller that is capable of driving the encoded error to zero is proposed. The overall closed-loop system is exponentially stable provided that camera model imprecision is small
Keywords :
asymptotic stability; closed loop systems; encoding; manipulators; matrix algebra; position control; robot vision; servomechanisms; camera model imprecision; exponential stability; fixed-camera configurations; modified Cartesian-based encoding; precise 6-DOF positioning; rigid robots; robotic manipulators; visual servo controller; visual servoing; Cameras; Control systems; Encoding; Error correction; Machine vision; Orbital robotics; Robot kinematics; Robot vision systems; Symmetric matrices; Visual servoing;
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-5519-9
DOI :
10.1109/ACC.2000.879555